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COGSCI
2008
75views more  COGSCI 2008»
14 years 10 months ago
Exemplars, Prototypes, Similarities, and Rules in Category Representation: An Example of Hierarchical Bayesian Analysis
This article demonstrates the potential of using hierarchical Bayesian methods to relate models and data in the cognitive sciences. This is done using a worked example that consid...
Michael D. Lee, Wolf Vanpaemel
CVPR
2008
IEEE
16 years 1 months ago
Generalised blurring mean-shift algorithms for nonparametric clustering
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
Miguel Á. Carreira-Perpiñán
VTC
2010
IEEE
172views Communications» more  VTC 2010»
14 years 10 months ago
Turbo Source Compression with Jointly Optimized Inner Irregular and Outer Irregular Codes
—In this paper, we present a near-lossless compression scheme for scalar-quantized source codec parameters based on iterative source-channel decoding (ISCD). The scheme is compar...
Laurent Schmalen, Peter Vary, Thorsten Clevorn, Ma...
ICML
2006
IEEE
16 years 13 days ago
Two-dimensional solution path for support vector regression
Recently, a very appealing approach was proposed to compute the entire solution path for support vector classification (SVC) with very low extra computational cost. This approach ...
Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky
NIPS
2007
15 years 1 months ago
Discriminative K-means for Clustering
We present a theoretical study on the discriminative clustering framework, recently proposed for simultaneous subspace selection via linear discriminant analysis (LDA) and cluster...
Jieping Ye, Zheng Zhao, Mingrui Wu